{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerability", "vulnerable system version", "vulnerable system", "capabilities", "common vulnerabilities and exposures", "vulnerable system owner", "supported platform"]}, {"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "trusted entity", "place", "attacker", "time", "purpose", "attack pattern", "tool", "victim"]}, {"event_type": "data breach", "trigger": true, "arguments": ["purpose", "time", "number of data", "victim", "attacker", "number of victim", "damage amount", "attack pattern", "place"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "supported platform", "vulnerable system", "common vulnerabilities and exposures", "vulnerable system version", "patch", "patch number", "issues addressed", "releaser"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attacker", "time", "attack pattern", "place", "price", "tool", "payment method"]}], "input": "A recipient is lured into visiting the site on some pretext or other , for example they are warned about a virus epidemic and are offered the possibility to download an ' antivirus program ' ."}
{"discover vulnerability": [], "phishing": [{"trigger": "is lured", "arguments": {"damage amount": "NAN", "trusted entity": "NAN", "place": "NAN", "attacker": "NAN", "time": "NAN", "purpose": "NAN", "attack pattern": "visiting the site on some pretext", "tool": "NAN", "victim": "A recipient"}}], "data breach": [], "patch vulnerability": [], "ransom": []}